Marco Antonio Márquez-Vera

ORCID: 0000-0002-2969-9084
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Research Areas
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Fuzzy Logic and Control Systems
  • Greenhouse Technology and Climate Control
  • Mineral Processing and Grinding
  • Advanced Control Systems Design
  • Spectroscopy and Chemometric Analyses
  • Iterative Learning Control Systems
  • Knowledge Societies in the 21st Century
  • Nonlinear Dynamics and Pattern Formation
  • Urban Agriculture and Sustainability
  • Soil Mechanics and Vehicle Dynamics
  • Hate Speech and Cyberbullying Detection
  • Agricultural Engineering and Mechanization
  • Water Quality Monitoring Technologies
  • Evolutionary Algorithms and Applications
  • Magnetic Bearings and Levitation Dynamics
  • Sensor Technology and Measurement Systems
  • Minerals Flotation and Separation Techniques
  • Advanced Chemical Sensor Technologies
  • Risk and Safety Analysis
  • Advanced Measurement and Metrology Techniques
  • Internet of Things and AI
  • Infrastructure Resilience and Vulnerability Analysis
  • Electrodeposition and Electroless Coatings

Universidad Politécnica de Pachuca
2016-2025

Polytechnic University
2020-2024

Polytechnic University of Puerto Rico
2014

This paper presents a control system design for magnetic levitation (Maglev) or MLS using sliding mode (SMC). The problem of levitating the object in air will be solved controller. Inductors used make have nonlinear characteristics. Thus, controller is most suitable MLS. SMC one controllers with good robustness and can handle any model mismatch. Based on simulation results step as input reference, provided performances: 0.0991s rise time, 0.1712s settling 0.0159 overshoot. Moreover,...

10.18196/jrc.v3i6.12389 article EN Journal of Robotics and Control (JRC) 2023-01-17

The inverted pendulum system is highly popular in control applications and has the characteristics of unstable, nonlinear, fast dynamics. A nonlinear controller needed to a with these characteristics. In addition, there are disturbances parameter uncertainty issues be solved system. Therefore, this study uses controller, which backstepping sliding mode control. robust so that it suitable for controlling an Based on testing step sine reference signals without interference, can stabilize well...

10.18196/jrc.v3i1.12739 article EN Journal of Robotics and Control (JRC) 2021-11-14

Artificial potential field (APF) is the effective real-time guide, navigation, and obstacle avoidance for UAV Quadrotor. The main problem in APF local minima an or multiple obstacles. In this paper, some modifications improvements of will be introduced to solve one-obstacle minima, two-obstacle Goal Not Reachable Near Obstacle (GNRON) dynamic obstacle. result shows that improved gave best because it made system reach goal position all examinations. Meanwhile, with virtual force has fastest...

10.1109/comnetsat53002.2021.9530803 article EN 2021-07-17

This paper aims to adapt and apply genetic distance metrics in biomedical signal processing improve the classification monitoring of neurological disorders, specifically Alzheimer’s disease frontotemporal dementia. The primary objectives are: (1) quantify variability EEG patterns among distinct subtypes neurodegenerative disorders healthy individuals, (2) explore potential a novel similarity metric establishing correlations between brain dynamics clinical progression. Using dataset...

10.3390/sym17020172 article EN cc-by Symmetry 2025-01-23

Misogyny is a severe social problem that affects women's mental and physical health or even leads to femicide. This cultural visible prevalent in different communication channels, such as music media, confirming inciting this behavior. Hence, the automatic detection of misogynistic content media using computational methods analyze language increasing interest. Most approaches follow supervised machine learning strategy, with main challenge capturing diversity complexity offensive directed at...

10.1109/access.2023.3242965 article EN cc-by IEEE Access 2023-01-01

This paper presents the utilization of ESP32 microcontroller as a teaching tool for signal acquisition, processing, and control theory in biotechnological engineering. The microcontroller, equipped with Bluetooth WiFi capabilities, offers an affordable versatile solution educational purposes. By leveraging Arduino© software, students can easily learn programming utilize various peripherals such sensors actuators. Several practical exercises related to process have been conducted using this...

10.1016/j.dche.2023.100122 article EN cc-by-nc-nd Digital Chemical Engineering 2023-09-06

This paper shows the implementation of a fuzzy controller applied for magnetic levitation, to make this, characterization actuator was computed by using ANSYS® analysis. The control law Mamdani PD implemented with two microcontrollers, get smooth signal, it used model reference. A learning scheme update consequents rules. Different reference signals and disturbances were system show robustness controller. Finally, LabVIEW® plot results.

10.1016/j.aej.2016.04.032 article EN cc-by-nc-nd Alexandria Engineering Journal 2016-05-10

In this work it is showed fuzzy model, trained with ANFIS algorithm, to estimate water evapotranspiration (ET) of a tomato plant, as witness in the production greenhouse. There are two variables used, VPD that represents microclimate greenhouse and mass was measured digital balance (lysimeter). Additionally, second lysimeter used prove result structure by means principle, proved effectiveness model proposed. The experimental results here presented from days, pot plant saturated no irrigation...

10.1109/icasat48251.2019.9069533 article EN 2019-11-01

Instrumentation to measure microclimate in greenhouses is a task developing before starting the identification and control moisture temperature greenhouses, variable which best describe helps prevent fungus disease risks, vapor pressure deficit (VPD), it measured indirectly by means of two inputs: humidity, psychrometric chart, another way using interpolation models. This paper shows methodology VPD, fuzzy modeling type Takagi-Sugeno (T-S). Fuzzy based on expert human knowledge, additionally...

10.1016/j.ifacol.2016.10.068 article EN IFAC-PapersOnLine 2016-01-01

This article studies the most common methods of autonomous vehicle guidance, as well a review companies that have already developed their own self-guided tractors. The for guidance are through position obtained from an RTK-GPS and by artificial vision. For both cases, sensors to be implemented help task assigned, such LIDAR sensors, proximity among others, detect tractor know working environment define correct route even avoid collision, comply with assigned task, managing improve production...

10.61467/2007.1558.2020.v11i3.171 article EN International Journal of Combinatorial Optimization Problems and Informatics. 2020-01-03

Fault diagnosis is an important issue in industrial processes to avoid economic losses, process damage, and guarantee safe working conditions for the operators. For high scale data-driven based methods are best solution monitoring fault diagnosis. Thus, this paper, principal component analysis shown detect isolate faults. Also, a dynamic threshold implemented false alarms because incipient faults difficult be detected. As case of study, Tennessee Eastman (TE) used apply strategy interaction...

10.18196/jrc.2364 article EN Journal of Robotics and Control (JRC) 2020-11-10

This paper presents a control scheme to tune online the proportional, integral and derivative gains of discrete PID controller, through identification SISO stable minimum phase dynamic system. is accomplished using radial basis network neural with daughter Morlet wavelets activation functions in cascaded an infinite impulse response (IIR) filter. applied real time speed AC three-phase induction motor supplied inverter. So this way we show how can be implemented type plants that are widely...

10.1016/j.riai.2013.05.002 article EN cc-by-nc-nd Revista Iberoamericana de Automática e Informática Industrial RIAI 2013-06-26

There exist some physical systems whose underactuation and limited sensing represent a challenge in engineering. The former requires model-based nesting or virtual control schemes to the underactuated degrees of freedom through actuated ones, while latter imposes stringent requirements design controller using only partial access state, called output feedback. In this paper, we address feedback class uncertain nonlinear that is not neither require state estimation. Output are circumvented by...

10.1016/j.ifacol.2018.07.351 article EN IFAC-PapersOnLine 2018-01-01

Based on adaptive wavelet neural networks, a PID discrete control scheme for induction motor drives is presented. An auto-tuning wavenet synthesized the feedback gains by means of gradient-descendent algorithm through online plant identification. The latter uses input and output data radial basis network (RBNN) with different daughter activation functions. Infinite impulse response filter in cascade RBNN introduced to prune nodes that contribute poorly an efficient identification even though...

10.23919/ecc.2013.6669773 article EN 2022 European Control Conference (ECC) 2013-07-01

El diagnóstico de fallas es importante en los procesos industriales, ya que permite determinar si necesario detener el proceso operación y/o proponer un plan mantenimiento. En presente trabajo se comparan dos estrategias para diagnosticar fallas. La primera realiza preprocesamiento datos usando análisis componentes independientes reducir la dimensión datos, posteriormente, emplea transformada wavelet resaltar las señales falla, con esta información alimenta una red neuronal artificial. Por...

10.4995/riai.2020.13611 article ES cc-by-nc-sa Revista Iberoamericana de Automática e Informática Industrial RIAI 2021-04-06
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